Drilling Performance Modeling

Drilling Performance Modeling is a computational or analytical framework that quantitatively characterizes and predicts the efficiency, rate, and outcomes of drilling operations by integrating mechanical, geophysical, and operational variables to optimize decision-making in automated drilling systems.

432

Publications

16.3K

Citations

1.2K

Authors

428

Institutions

Publications per year

2017–2026

191

Authors

1.2K

  1. SE
    Salaheldin Elkatatny

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    19 publications · 534 citations

    15

    h-index

  2. AA
    Abdulazeez Abdulraheem

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    9 publications · 207 citations

    9

    h-index

  3. MW
    Min Wu

    China University of Geosciences, China

    9 publications · 324 citations

    9

    h-index

  4. KP
    K. Palanikumar

    Sathyabama Institute of Science and Technology, India

    8 publications · 551 citations

    8

    h-index

  5. CH
    Chiranth Hegde

    The University of Texas at Austin, United States

    8 publications · 629 citations

    8

    h-index

1–5 of 1.2K

Venues

  1. 21

    h-index

  2. Journal of Petroleum Science and Engineering

    20 publications · 1.1K citations

    17

    h-index

  3. SPE Annual Technical Conference and Exhibition

    Conference · 14 publications · 607 citations

    12

    h-index

  4. SPE Drilling & Completion

    9 publications · 207 citations

    8

    h-index

  5. Journal of Energy Resources Technology

    7 publications · 221 citations

    7

    h-index

1–5